Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
The majority of theoretical work in machine learning is done under the assumption of exchangeability: essentially, it is assumed that the examples are generated from the same prob...
Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerm...
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Many existing human detection systems are based on sub-window classification, namely detection is done by enumerating rectangular sub-images in the 2D image space. Detection rate...
As various services are provided as web applications, attacks against web applications constitute a serious problem. Intrusion Detection Systems (IDSes) are one solution, however,...